Ubuntu 20.04 安裝 ASUS TUF Gaming B650m PLUS WiFi 驅動程式

簡單來說

這張板子安裝了Ubuntu 20.04 後，找不到 wifi 選項

幸好插上實體網路線還能用

一般來說就是沒驅動程式

上網 google 這板子用哪個 wifi 晶片還找不到

一直到 ASUS 的驅動程式下載網頁才看到晶片名稱

https://www.asus.com/tw/motherboards-components/motherboards/tuf-gaming/tuf-gaming-b650m-plus-wifi/helpdesk_download?model2Name=TUF-GAMING-B650M-PLUS-WIFI

Realtek RTL8852BE WiFi driver V6001.15.124.0 For Windows 10/11 64-bit.

版本 6001.15.124.0

6.15 MB

2022/09/13

Please install the corresponding driver according to the WIFI/BT chip on your motherboard.

知道晶片名稱再來下關鍵字就簡單多了

找到下面兩篇

https://blog.csdn.net/qq_75220669/article/details/137251306

https://ubuntuforums.org/showthread.php?t=2484689

為避免以後連結失效

這裡將需要的步驟複製貼上

sudo apt update
sudo apt install git make gcc bc

查看核心版本

uname -r

低於 5.18 => https://github.com/HRex39/rtl8852be.git

高於 5.18=> https://github.com/HRex39/rtl8852be.git -b dev

git clone https://github.com/HRex39/rtl8852be.git
cd rtl8852be
make    /*  如果要 multi-thread build 的話，輸入 make -j$(nproc)  */
sudo make install
sudo modprobe 8852be

走完步驟 WiFi 就可以使用了

ubuntu 20.04 安裝 CUDA 11.8 for RTX 4090

 先上個連結

https://gist.github.com/MihailCosmin/affa6b1b71b43787e9228c25fe15aeba?permalink_comment_id=4665431

上面這連結是在講 ubuntu 22.04 怎麼裝 CUDA 11.8

他的最後更新時間是 Oct 29, 2023

而現在是 June 04, 2024

NV Driver 版號又不太一樣了，在這紀錄一下踩坑紀錄

====================先照貼原本的內容====================

#!/bin/bash ### steps #### # verify the system has a cuda-capable gpu # download and install the nvidia cuda toolkit and cudnn # setup environmental variables # verify the installation ### ### to verify your gpu is cuda enable check lspci | grep -i nvidia ### If you have previous installation remove it first. sudo apt purge nvidia* -y sudo apt remove nvidia-* -y sudo rm /etc/apt/sources.list.d/cuda* sudo apt autoremove -y && sudo apt autoclean -y sudo rm -rf /usr/local/cuda* # system update sudo apt update && sudo apt upgrade -y # install other import packages sudo apt install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev # first get the PPA repository driver sudo add-apt-repository ppa:graphics-drivers/ppa sudo apt update # find recommended driver versions for you ubuntu-drivers devices # install nvidia driver with dependencies sudo apt install libnvidia-common-515 libnvidia-gl-515 nvidia-driver-515 -y # reboot sudo reboot now # verify that the following command works nvidia-smi sudo wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600 sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /" # Update and upgrade sudo apt update && sudo apt upgrade -y # installing CUDA-11.8 sudo apt install cuda-11-8 -y # setup your paths echo 'export PATH=/usr/local/cuda-11.8/bin:$PATH' >> ~/.bashrc echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc source ~/.bashrc sudo ldconfig # install cuDNN v11.8 # First register here: https://developer.nvidia.com/developer-program/signup CUDNN_TAR_FILE="cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz" sudo wget https://developer.download.nvidia.com/compute/redist/cudnn/v8.7.0/local_installers/11.8/cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz sudo tar -xvf ${CUDNN_TAR_FILE} sudo mv cudnn-linux-x86_64-8.7.0.84_cuda11-archive cuda # copy the following files into the cuda toolkit directory. sudo cp -P cuda/include/cudnn.h /usr/local/cuda-11.8/include sudo cp -P cuda/lib/libcudnn* /usr/local/cuda-11.8/lib64/ sudo chmod a+r /usr/local/cuda-11.8/lib64/libcudnn* # Finally, to verify the installation, check nvidia-smi nvcc -V # install Pytorch (an open source machine learning framework) pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

====================以下是要更改的內容====================

# install nvidia driver with dependencies sudo apt install libnvidia-common-535 libnvidia-gl-535 nvidia-driver-535 -y

因為 driver 版本更新，這個時間點已經找不到 515 了

所以這邊把 515 改成 535

# verify that the following command works nvidia-smi sudo wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600 sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"

這邊講的都是 ubuntu 22.04

我要的版本是 20.04，可以去下面這個網址

https://developer.nvidia.com/cuda-11-8-0-download-archive

選擇 Linux -> x86_64 -> Ubuntu -> 20.04 -> deb(network)

他會列出 Installation Instructions 如下

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.debsudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda

注意上面最後這句還有坑

# installing CUDA-11.8 sudo apt install cuda-11-8 -y

如果不指定版本的話他預設裝的版本一直安裝失敗

後來找到有人說其實可以指定 driver 版本

可以寫成下列的樣子

# installing CUDA-11.8 sudo apt install cuda-11-8 cuda-drivers=535.161.08-1

後面的步驟就沒有不同了

照著複製貼上即可成功安裝